Publications of Janaina Mourão-Miranda

Schrouff, J., Monteiro Jőo M., Portugal, L. C. L., Rosa Maria Jőo, Phillips, C., & Mourão-Miranda, J. (2018). Embedding anatomical or functional knowledge in whole-brain multiple kernel learning models. Neuroinformatics, 16(1), 117–143. https://doi.org/10.1007/s12021-017-9347-8

Baldassarre, L., Pontil, M., & Mourao-Miranda, J. (2017). Sparsity is better with stability: Combining accuracy and stability for model selection in brain decoding. Frontiers in Neuroscience, 11, Article 62. https://doi.org/10.3389/fnins.2017.00062

Fernandes Jr., O., Portugal, L. C. L., Alves, R. de C. S., Arruda-Sanchez, T., Rao, A., Volchan, E., Pereira, M., Oliveira, L., & Mourao-Miranda, J. (2017). Decoding negative affect personality trait from patterns of brain activation to threat stimuli. NeuroImage, 145(PartB), 337–345. https://doi.org/10.1016/j.neuroimage.2015.12.050

Nieuwenhuis, M., Schnack, H. G., van Haren, N. E., Lappin, J., Morgan, C., Reinders, A. A., Gutierrez-Tordesillas, D., Roiz-Santianez, R., Schaufelberger, M. S., Rosa, P. G., Zanetti, M. V., Busatto, G. F., Crespo-Facorro, B., McGorry, P. D., Velakoulis, D., Pantelis, C., Wood, S. J., Kahn, R. S., Mourao-Miranda, J., & Dazzan, P. (2017). Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. NeuroImage, 145(PartB), 246–253. https://doi.org/10.1016/j.neuroimage.2016.07.027

Rao, A., Monteiro, J. M., & Mourao-Miranda, J. (2017). Predictive modelling using neuroimaging data in the presence of confounds. NeuroImage, 150, 23–49. https://doi.org/10.1016/j.neuroimage.2017.01.066

Monteiro, J. M., Rao, A., Shawe-Taylor, J., & Mourão-Miranda, J. (2016). A multiple hold-out framework for Sparse Partial Least Squares. Journal of Neuroscience Methods, 271, 182–194. https://doi.org/10.1016/j.jneumeth.2016.06.011

Altmann, A., & Mourao-Miranda, J. (2019). Evidence for bias of genetic ancestry in resting functional MRI. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 275–279). IEEE. https://doi.org/10.1109/ISBI.2019.8759284

Mihalik, A., Brudfors, M., Robu, M., Ferreira, F. S., Lin, H., Rau, A., Wu, T., Blumberg, S. B., Kanber, B., Tariq, M., Garcia, M. E., Zor, C., Nikitichev, D. I., Mourão-Miranda, J., & Oxtoby, N. P. (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and Kernel ridge regression. In K. M. Pohl, W. K. Thompson, E. Adeli, & M. G. Linguraru (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 133–142). Springer. https://doi.org/10.1007/978-3-030-31901-4_16

Oxtoby, N. P., Ferreira, F. S., Mihalik, A., Wu, T., Brudfors, M., Lin, H., Rau, A., Blumberg, S. B., Robu, M., Zor, C., Tariq, M., Garcia, M. E., Kanber, B., Nikitichev, D. I., & Mourão-Miranda, J. (2019). ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology. In K. M. Pohl, W. K. Thompson, E. Adeli, & M. G. Linguraru (Eds.), Adolescent brain cognitive development neurocognitive prediction (pp. 114–123). Springer. https://doi.org/10.1007/978-3-030-31901-4_14

Ferreira, F. S., Rosa, M. J., Moutoussis, M., Dolan, R. J., Shawe-Taylor, J., Ashburner, J., & Mourao-Miranda, J. (2018). Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships. In 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 12-14 June 2018, Singapore (pp. 1–4). https://doi.org/10.1109/PRNI.2018.8423947